A curated view of Exilence’s AI products, client platforms, digital systems, technical case studies and engineering capabilities.
Product strategy, architecture, interface design, engineering, AI integration, workflow automation, testing, deployment and growth execution can operate as one accountable delivery model.
We combine product thinking, software engineering, AI systems, automation and growth execution. AI accelerates research, coding, testing and documentation; accountable human owners remain responsible for architecture, security, business logic and release quality.
Customer-facing applications, internal platforms, dashboards, marketplaces and multi-role systems.
Knowledge assistants, recommendation engines, decision support, qualification and workflow agents.
Product storytelling, AI-search readiness, content systems, conversion journeys and marketing automation.
| Portfolio item | Portfolio category | Core capability & technical scope |
|---|---|---|
| Annaizu · UK | AI SaaS | Multi-role workforce and compliance platform; onboarding, sponsorship compliance, background verification, immigration and rota workflows; document-driven processes; role-based dashboards and workflow automation. |
| Q Financial Intelligence | AI Crypto Exchange | Real-time market data through WebSockets; multi-asset portfolio and risk analytics; AI market assistant; trading and intelligence dashboards; event-driven alerts and external data integrations. |
| Brandentify | AI Personal Branding & Social Media | AI profile and brand intelligence; content generation and planning; scheduled publishing workflows; opportunity matching; recommendation systems; engagement and growth analytics. |
| Skillshot | AI Marketplace | AI-generated professional profiles and digital cards; service and talent discovery; geospatial radius-based search; mobile-first experience; sharing, enquiry and lead-capture workflows. |
| RapidRoute | AI Quick Commerce | Personalised product discovery; real-time inventory; order and fulfilment routing; vendor, payment and delivery integrations; operational dashboards and performance analytics. |
| Ankpal | Accounting & ERP | Cloud accounting and billing; inventory, procurement and manufacturing workflows; GST compliance; financial controls; business-intelligence dashboards; reporting and mobile access. |
| Marzena | AI Fashion Stylist / Ecommerce | GraphQL API and resolvers; retailer catalogue ingestion; embeddings and vector search; recommendation and ranking engine; occasion, destination, body-profile and budget constraints; web and mobile delivery. |
| DiabetesConnect | AI HealthTech | AI meal analysis from text and images; time-series tracking for blood sugar, blood pressure, HbA1c, weight and wider health metrics; reminders, reports, trends, community content and mobile applications. |
| AI Sales & Support Agent | AI Sales Automation / B2B Lead Intelligence | B2B lead discovery and enrichment; ICP and intent scoring; account research; CRM creation, routing and follow-up; personalised outreach drafts; RAG-based support answers; human approval, escalation and reporting. |
AI-enabled workforce management and compliance SaaS supporting sponsorship compliance, onboarding, background verification, immigration and rota workflows.
AI-enabled crypto exchange and financial-intelligence platform combining live market data, portfolio analytics, risk insight and conversational intelligence.
AI-powered personal-branding and social-media platform combining identity intelligence, content systems, opportunity discovery and growth analytics.
AI marketplace and digital-identity platform helping skilled professionals create intelligent profiles, share digital cards and become discoverable to nearby customers.
Quick-commerce platform connecting personalised discovery, real-time inventory, fulfilment routing, delivery tracking and operational intelligence.
Cloud accounting and business-operations platform bringing billing, inventory, compliance, manufacturing and reporting into one connected system.
Diabetes-management application combining AI meal analysis with everyday tracking for blood sugar, blood pressure, weight, HbA1c, medications, reports and health trends.
AI fashion-styling and commerce product that combines body profile, personal style, occasion, destination, weather, budget and retailer catalogues to recommend complete outfits.
Internal AI system designed to find and qualify B2B opportunities, automate sales execution and answer customer questions using controlled company knowledge.
Marzena combines a typed GraphQL API with semantic product retrieval, structured fashion constraints and AI-generated outfit recommendations.
The web or mobile client requests a recommendation using user, occasion, destination and budget inputs. GraphQL coordinates profile data, product retrieval and the styling service, then returns only the fields required by the interface.
An outfit recommendation contains nested entities: outfits, items, retailers, prices, sizes, availability and recommendation reasoning. GraphQL lets each client request the exact structure it needs while using a shared typed contract.
query GetOutfitRecommendations(
$userId: ID!
$occasion: String!
$destination: String
$budget: Float!
) {
outfitRecommendations(
userId: $userId
occasion: $occasion
destination: $destination
budget: $budget
) {
id
title
matchScore
explanation
items {
id
name
category
price
currency
retailer { name productUrl }
availability { size inStock }
}
}
}{
"data": {
"outfitRecommendations": [
{
"id": "outfit_104",
"title": "Smart Casual London Look",
"matchScore": 92,
"explanation": "Selected for the user's body profile, weather, walking needs and budget.",
"items": [
{
"id": "product_501",
"name": "Tailored Navy Jacket",
"category": "Jacket",
"price": 4299,
"currency": "INR",
"retailer": {
"name": "Retail Partner",
"productUrl": "/products/navy-jacket"
},
"availability": {
"size": "M",
"inStock": true
}
}
]
}
]
}
}async function outfitRecommendations(_, args, context) {
const profile = await context.userService.getProfile(args.userId);
const candidates = await context.retrieval.search({
profile,
occasion: args.occasion,
destination: args.destination,
budget: args.budget,
limit: 40
});
return context.stylist.generateRankedOutfits({
profile,
candidates,
constraints: args
});
}
The GraphQL module is presented as a working technical prototype within the active Marzena product.
This internal Exilence product combines B2B lead discovery, enrichment, qualification, CRM execution and personalised outreach with a RAG-based support layer grounded in company documentation and operational knowledge.
The agent identifies relevant B2B companies and contacts, enriches account information, evaluates ICP fit and intent, and produces prioritised account briefs.
Qualified opportunities can be routed into CRM workflows with personalised outreach, follow-up tasks, owner assignment and human approval controls.
The support layer retrieves grounded answers from company knowledge, applies confidence controls and escalates complex cases with structured context.
Web, mobile, chat, dashboards and internal interfaces.
Reasoning, orchestration, tool selection, workflow state and handoffs.
Documents, databases, vector retrieval, memory and structured business context.
APIs, GraphQL, webhooks, CRM, ERP, payment, messaging and data providers.
Permissions, validation rules, human approval, audit trails and fallbacks.
Test datasets, answer quality, failure analysis, latency and cost monitoring.
PostgreSQL, document stores, analytics warehouses and event streams.
Cloud environments, deployment pipelines, secrets, logs, backups and observability.
Exilence uses Codex, Claude Code and controlled automation to reduce repetitive engineering effort. These tools do not own architecture, approvals or production quality.
Exilence can work as a product-development partner, specialist AI team, automation partner or extended delivery team—depending on the client’s stage, internal capability and project requirements.
We clarify the business problem, users, workflows, technical architecture, integrations, risks and success criteria before development begins.
Design, engineering, AI, automation, testing and deployment are managed through defined modules, visible progress and regular demonstrations.
We monitor quality, performance, user behaviour, AI costs and business outcomes, then improve the product based on evidence.
Best for clearly defined products, modules, integrations and automation systems.
Flexible product, design, engineering, AI, QA and DevOps capacity for ongoing delivery.
Delivery support for agencies, consultancies and technology partners serving their own clients.
Joint product, implementation or automation work where responsibilities are clearly divided.